day 8 | capgemini interview question | pyspark scenario based interview questions and answers
pyspark scenario based interview questions and answers
capgemini interview question and answers
Create DataFrame :
================
lift_data = [
(1,300),
(2,350)
]
lift_schema = "id int , capacity_kg int"
lift_df = spark.createDataFrame(data = lift_data , schema = lift_schema)
lift_passengers_data = [
('Rahul',85,1),
('Adarsh',73,1),
('Riti',95,1),
('Viraj',80,1),
('Vimal',83,2),
('Neha',77,2),
('Priti',73,2),
('Himanshi',85,2)
]
lift_passengers_schema = "passenger_name string , weight_kg int, lift_id int"
lift_passengers_df = spark.createDataFrame(data = lift_passengers_data , schema = lift_passengers_schema)
lift_df.display()
lift_passengers_df.display()
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